(IND) Senior, Data Analyst

Job Description

Position Summary... Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices. What you'll do... About Team As the Senior Data Analyst, Marketplace Analytics & Data Science, you will be part of the team with an aim to evaluate the effectiveness and efficiency of the Marketplace platform. Walmart Marketplace allows independent third-party sellers to list products directly on Walmart.com alongside Walmart’s own inventory. Your focus will be to support the Business and Product teams in strategic and operational decision making as they prioritize and build capabilities and tools to allow Sellers to both sell and ship products to Customers. What You Will Do You will be responsible for translating ambiguous business problems into actionable and data-driven solutions using advanced analytical techniques and storytelling Understand partner teams requirements Identify and validate most suitable data sources Use SQL/Python to manipulate large data sets to uncover trends, diagnose root causes and identify opportunities Use advanced analytics and machine learning to derive insights, make causal frameworks and predict outcomes Leverage Tableau/Looker to share key metrics and communicate findings Develop and maintain data pipelines to support your analytical work Define and track key metrics for your area, do RCAs, propose and test hypotheses Communicate findings and results effectively to partner teams Build Cross functional partnerships with Business, Product, Engineering What You Will Bring Education: Bachelor’s degree in a quantitative field (Masters preferred) (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related discipline). Experience: 4–9 years of relevant experience in analytics or data science, preferably in retail, eCommerce or consumer internet Technical Skills: SQL: Expert in querying and transforming large-scale structured data. Python: Skilled in data analysis, modeling, and automation (pandas, N

Required Skills